| Name : R-WaveletRF
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.16.1
| Date : 2024-06-21 06:07:35
|
| Group : Development/Libraries/Other
| Source RPM : R-WaveletRF-0.1.0-lp153.16.1.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Wavelet-RF Hybrid Model for Time Series Forecasting
|
Description :
The Wavelet Decomposition followed by Random Forest Regression (RF)
models have been applied for time series forecasting. The maximum
overlap discrete wavelet transform (MODWT) algorithm was chosen as it
works for any length of the series. The series is first divided into
training and testing sets. In each of the wavelet decomposed series,
the supervised machine learning approach namely random forest was
employed to train the model. This package also provides accuracy
metrics in the form of Root Mean Square Error (RMSE) and Mean Absolute
Prediction Error (MAPE). This package is based on the algorithm of Ding
et al. (2021) < DOI: 10.1007/s11356-020-12298-3>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
